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dc.contributor.authorGopal, Lenin
dc.contributor.authorSingh, Ashutosh
dc.contributor.authorShanmugam, Veeramani
dc.date.accessioned2017-01-30T12:33:48Z
dc.date.available2017-01-30T12:33:48Z
dc.date.created2009-05-14T02:17:12Z
dc.date.issued2008
dc.identifier.citationGopal, Lenin and Singh, Ashutosh Kumar and Shanmugan, Veeramani. 2008. Power Estimation in Mobile Communication Systems. Computer and Information Science. 1 (3): pp. 88-94.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/22825
dc.description.abstract

Accurate power estimation has an important role for power control and handoff decisions in mobile communications. Window based weighed sample average power estimators are commonly used due to their simplicity. In practice, the performances of these estimators degrade severely when the estimators are used in the presence of correlated samples. In this paper performances of the three local mean power estimators namely, sample average, optimum unbiased and maximum likelihood estimators, are analysed in the presence of correlated samples. The variance of the estimators is used as performance measures. Finally, the simulation results show that the performances of the optimum unbiased and maximum likelihood estimators are very good as compared to the performance of the sample average estimator.

dc.publisherCanadian Center of Science and Education
dc.subjectmobile communications
dc.subjectlocal mean power
dc.subjectPower estimation
dc.subjectRayleigh fading
dc.titlePower Estimation in Mobile Communication Systems
dc.typeJournal Article
dcterms.source.volume1
dcterms.source.number3
dcterms.source.startPage88
dcterms.source.endPage94
dcterms.source.issn1913-8989
dcterms.source.titleComputer and Information Science
curtin.departmentCurtin Sarawak - Faculty Office
curtin.accessStatusOpen access


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